Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases.
- Published Article
Springer (Biomed Central Ltd.)
- Publication Date
Jul 07, 2003
This study suggests that a machine learning strategy for optimizing neural network architecture may be preferable to traditional trial-and-error approaches for the identification and characterization of gene-gene interactions in common, complex human diseases.
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This record was last updated on 07/03/2016 and may not reflect the most current and accurate biomedical/scientific data available from NLM.
The corresponding record at NLM can be accessed at https://www.ncbi.nlm.nih.gov/pubmed/12846935